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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Experimental Learning in Engineering
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

892 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
892 works in the cohort · of 4,299,418page 2 of 18

Labels cover 1 of 892 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 892 of 892 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
Computational Notebooks in Chemical Engineering Curricula
Jonathan Verrett, Fani Boukouvala, Alexander W. Dowling, Zachary W. Ulissi, Ví­ctor M. Zavala
2020· article· en· Chemical Engineering Education· Engineering
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Real Laboratories for Distance Education
Stuart McCracken, Željko Žilić, Henry Chan
2003· article· en· Journal of Computing and Information Technology· Engineering
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Virtual and remote laboratories
Mamane Moustapha Dodo Amadou, Maarouf Saad, Jean‐Pierre Kenné, Vahé Nerguizian
2006· article· en· Engineering
machine prediction:candidate · noneconsensus · none
9
citations
affvenueunlabeled
Barriers to Digital Literacy: Learning to Program
Andréa Cartile
2020· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
machine prediction:candidate · noneconsensus · none
9
citations

How this was built: Screen · Findings · About